Software Engineer II, Search & Data Infrastructure

Salesforce

Software Engineer II developing scalable search infrastructure and AI integrations for Slack. Collaborate with cross-functional teams to maintain high-performance search systems at Slack.

Posted 5/27/2026full-timeSeattle • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $117,200 - $223,900 per yearWebsite

Tech Stack

Tools & technologies

ChefDistributed SystemsElasticSearchGoHadoopJavaKubernetesMapReducePHPPythonRubySparkTerraform

About the role

Key responsibilities & impact

Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack’s search infrastructure.
Partner with product engineering to conceptualize and ship new features for our large (and growing!) user base.
Collaborate with team members to ensure high availability and reliability of a distributed search system at massive scale.
Own team features and systems end-to-end, defining their long-term health while proactively improving the health of surrounding systems.
Deploy, configure, test, troubleshoot, maintain, and upgrade Solr clusters and environments.
Continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and peak search performance.
Support our skilled operations team in triaging and resolving production issues quickly and effectively.
Raise the bar on engineering standards, tooling, and processes across the team.
Build and ship high-quality, production-grade software using modern engineering practices — with AI as a core part of your development workflow.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining shared system context: an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human- or AI-generated) for correctness, quality, security, and performance.

Requirements

What you’ll need

4+ years of applicable software engineering experience
worked extensively with distributed data processing frameworks such as Spark, Hadoop, MapReduce, or EMR
hands-on experience with Solr, Elasticsearch, Lucene, or other search technologies
familiar with infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
proficient with functional or imperative programming languages — e.g., PHP, Python, Ruby, Go, C, or Java
track record of building high-availability, performant, and scalable systems that handle large data volumes across multiple clusters and geographic regions
experience planning, implementing, and deploying software migrations and upgrades in production environments
can contribute meaningfully to technical architecture discussions and help drive sound technical decisions within your team
strong communicator — able to explain complex technical concepts clearly to designers, support staff, and fellow engineers
solid computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval
genuine, demonstrated AI-first approach to engineering — using AI tools to move faster, build fluency across the stack, and contribute beyond your core specialty
experience integrating AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) into your development workflow
advanced prompt engineering skills — able to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

Benefits

Comp & perks

time off programs
medical, dental, vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SolrElasticsearchLuceneSparkHadoopMapReduceEMRPHPPythonJava

Soft Skills

strong communicatorcollaborationtechnical architecture discussionsproblem-solvingcritical evaluationengineering standardsinnovationteam ownershipproactive improvementclear explanation of technical concepts